Comparative Analysis of Ant Colony and Particle Swarm Optimization Techniques

By V.Selvi Dr, R.Umarani Lecturer, Salem. Tamilnadu. 2010

304 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/169f382fc20f40cb355300b29822d1f0b439c07f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. M. N. Ab Wahab
2. Samia Nefti-Meziani
3. Adham Atyabi
4. Hamed Kashi
5. Ozgur Kisi
6. Jan Adamowski
7. Kwok-Wing Chau
8. C. Wu

In Control and Systems Engineering

1. Ozgur Kisi

Citations in the corpus

• Modeling Groundwater Quality Parameters Using Hybrid Neuro-Fuzzy Methods (2019, background): “For example, if one needs an algorithms benefiting some properties such as easy to use, simple structure, and fast convergence, PSO would be a suitable choice (Chau 2007); if a problem situation needs an algorithms having appropriate ability to solve complex ones as well as a guarantee to reach conv”
• A Comprehensive Review of Swarm Optimization Algorithms (2015, background): “These are in addition to taking advantage of the existing collective interaction of a population of agents [26, 27].”